Engineer IV

Tulsa OK

(Data/Analytics/Business Intelligence Engineer)

Contract Role – On Site Monday - Thursday (Option for remote on Friday)

$55.00 - $61.00 per hour + Benefits, PTO, 401k and company match.

Education/Experience Required

• Bachelor's degree in computer science, programming, IT, engineering, business, or related field.
• 7 + years' experience
• 3 + years supporting a major technology application.
• Proficiency in databases (SQL, Oracle) and data warehousing (SQL, Synapse).
• Understanding of ETL, job management, BI development, OLAP/CUBE design, and multi-dimensional database structures.
• Proficiency in SharePoint, Power Automate, HTML, and .NET.
• Proficiency in Azure analytics platform (Synapse, Databricks, Data Factory), Microsoft certifications (Azure Fundamentals, Data Fundamentals, AI Fundamentals).
• Experience with PCS, GIS, VBA, Pipeline Studio, Maximo, G-Forms, Aconex, AI tool building, and machine learning.
• Experience with cloud data platforms (e.g., Azure, GCP), BI tools (e.g., Power BI, Looker Studio), data transformation tools (e.g., dbt), data warehousing technologies (e.g., BigQuery, Redshift), and programming languages for data manipulation (e.g., Python)
• Extensive knowledge of Microsoft Office and PC skills.
• Experience in technology project justification and management.
• Excellent organizational and people skills; prioritizes safety.
• Willingness to learn and understand business needs and SME requirements.
  
  

Preferred: Master's degree with 10 years' experience, including 5+ years in data science or business intelligence development.

Responsibilities Include

• Programming, data analysis, model development, reporting, and project management.
• Support SMEs in creating efficient business processes and integrating various software packages such as Aconex, GIS, PCS, and Maximo.
• Adhere to IT standards for data security, risk management, and cybersecurity.
• Utilize company standard software tools.
• Maintain weld request forms and Internal Corrosion databases.
• Refine reporting for Annual Performance Reports (APRs) and sustainability reports.
• Create dashboards to track pipe manufacturing data for large projects.
• Provide project management, process improvement, and standardization for SMEs.
• Offer technical support, data management, and training for end-users.
• Collaborate with all organizational levels to understand business needs and recommend improvements.
• Resolve production issues and manage data flow from the field to databases.
• Participate in application development, upgrades, testing, implementation, and data integration.
• Coordinate User Acceptance Testing (UAT) for software installations, upgrades, and patches.
• Create and maintain Microsoft Power BI reports and analytics.
• Support data retrieval, compilation, and management from vendors and operations.
• Develop Standard Operating Procedures (SOPs), FAQs, and best practice documentation.
• Integrate multiple datasets and optimize process flows.